Fraud Intelligence Analyst

Potential Fraud Intelligence Analyst Role

Talent Network Notice: This page describes a potential future CargoGuard role. It does not mean CargoGuard is currently hiring for this position, and the responsibilities below describe potential future scope rather than current team structure or operations.

This future role would research freight-fraud patterns, suspicious identity changes, double-brokering indicators, and other shipment-security signals. The work would turn documented findings into product requirements, review procedures, and analytical context rather than making automatic fraud determinations.

What You Will Do

• Investigate suspicious carriers, brokers, and identities using platform data and open-source intelligence
• Map recurring relationships, identity-use patterns, and double-brokering indicators for review
• Write threat intelligence briefings for customers, partners, and leadership
• Translate investigative findings into detection rules and model features with our data science team
• Monitor dark web forums, industry alerts, and law enforcement bulletins for emerging threats
• Support internal and customer-facing review during suspicious shipment events with documented analysis

What We Require

• 5+ years of experience in fraud investigation, threat intelligence, financial crimes, or law enforcement analysis
• Bachelor’s degree in Criminal Justice, Intelligence Studies, Data Analytics, or a related field
• Advanced proficiency in SQL and link analysis tools such as Maltego, i2, or Palantir
• Expert OSINT skills and a disciplined, evidence-based investigative method
• Proven ability to produce clear, defensible intelligence reports under time pressure
• Working knowledge of FMCSA registration, MC/DOT authority, and freight transaction flows
• Unquestionable integrity and the judgment to handle sensitive information

What Sets You Apart

• CFE, CAMS, or GIAC certification
• Experience at a freight broker, carrier vetting provider, or cargo insurer
• Python scripting for data analysis and automation

About Our Talent Network

This page is part of the CargoGuard Talent Network. It describes a role that may become relevant as the company grows. Submitting your background does not create an employment relationship or guarantee that this position will open.

CargoGuard is an equal opportunity employer. We welcome applicants of every background and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic.

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